A multi-factor model for the grain yield prediction based on the previous data and relevant impacting factors is reported. In this model, the weight coefficient of each individual factor that affected the grain yield historically is analyzed by the variation coefficient method and the conversion degree function in the attribute theory. The effects of various factors on the predicted grain yield...

in other to evaluate grain yield, rate and effective grain filling period of four barley (hordeum vulgaris l.) cultivars in different planting dates, a factorial experiment based on a randomized complete block design was conducted in the islamic azad university of ardabil research station in 2009. the treatments applied were: three levels of different planting dates (september, 23; october, 16 ...

This paper uses a multivariate vector error-correction generalized autoregressive conditional heteroscedasticity model to investigate the effect of British grain prices on their Irish equivalents. We find that in the long run the law of one price holds and in the short run the model captures the salient features of Irish grain prices. The model is used to compute rolling forecasts of the condit...

in order to evaluate the relationship between grain yield and agronomic characteristics in bread wheat genotypes in different planting dates under rainfed conditions, a factorial experiment was conducted based on rcbd with four replications at gonbad-e qabus region, iran, during 2012-2014 growing seasons. number of spikes per unit area, grain filling rate, effective grain filling period, number...

This paper presents a data hiding technique based on a new compression enhancement called Film Grain Technology. Film grain is a midfrequency noise-like pattern naturally appearing in imagery captured on film. The Film Grain Technology is a method for modeling and removing the film grain, thus enhancing the compression efficiency, and then using the model parameters to create synthetic film gra...

The objectives of this study were to assess the genotype (G) by environment (E) interaction of grain yield of durum wheat(Triticum durum Desf.) based on parametric models, additive main effects and multiplicative interaction (AMMI) and joint linear regression models; and compare the relative efficiency of the two models in explaining the GE effects. Twenty-three genotypes were evaluated across ...

A study using 51 wheat, 56 barley and 34 oat grain samples was conducted to investigate the feasibility of predicting the apparent metabolizable energy (AME) value of these cereals for poultry. Stepwise regression analyses were performed to evaluate the relationship of AME with starch, ether extract (EE), crude fiber (CF), soluble sugar (SS), ash and crude protein (CP) (for wheat and barley gra...